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A methodology for detection and localization of fruits in apples orchards from aerial images. Author(s): SANTOS, T. T.; GEBLER, L. Abstract. Computer vision methods based on convolutional neural networks (CNNs) have presented promising results on image-based fruit detection at ground-level for different crops. However, the integr... ... Repository: BDPA Publication year: 2021
Development of an Optoelectronic Sensor for Detecting and Classifying Fruit Fly (Diptera:,Tephritidae) for Use in Real-Time Intelligent Traps. Author(s): MORAES, F. S.; NAVA, D. E.; SCHUNEMANN, T.; ROSA, V. S. da Repository: BDPA Publication year: 2019
Optoacoustic intelligent sensor for real-time detection of fruit flies in McPhail traps. Author(s): MORAES, F. S.; NAVA, D. E.; ROSA, V. S. da Repository: BDPA Publication year: 2018
Detection of Passion fruit green spot virus (PFGSV), a Brevipalpus transmitted virus in the mite vector B. yothersi. Author(s): SAITO, M.; ASTUA, J. de F.; RAMOS-GONZALEZ, P.; NOVELLI, V. M.; KITAJIMA, E. W. Repository: BDPA Publication year: 2016
Detecção de frutos em viticultura utilizando redes neurais profundas. Author(s): SOUZA, L. L. de; AVILA, S.; SANTOS, T. T. RESUMO - Neste trabalho investigamos técnicas de detecção de objetos por redes neurais aplicadas à detecção de frutos em viticultura. Desenvolvemos também a base de dados Embrapa WGISD, composta por i... ... Repository: BDPA Publication year: 2019
Low-cost paper-based sensors modified with curcumin for the detection of ochratoxin a in beverages. Author(s): SANTOS, D. M. dos; MIGLIORINI, F. L.; COATRINI-SOARES, A.; SOARES, J.; MATTOSO, L. H. C.; OLIVEIRA, O. N.; CORREA, D. S. Ochratoxin A (OTA) is a mycotoxin that can contaminate food and is produced by fungal species such as Aspergillus carbonarius, Penicillium verrucosum, Aspergillus ochraceus, and Aspergillus niger [1].... ... Repository: BDPA Publication year: 2024
Evaluating multiple regressors for the yield of orange orchards. Author(s): SOUZA, K. X. S. de; TERNES, S.; CAMARGO NETO, J.; SANTOS, T. T.; MOREIRA, A. S.; KOENIGKAN, L. V.; SOUZA, R. de In this paper, we assess the effectiveness of various machine learning regressors for yield forecasting based on fruit detection in images captured within the orchard Repository: BDPA Publication year: 2023
Detecção automática de uvas e folhas em viticultura com uma rede neural YOLOv2. Author(s): SANTOS, A. A. dos; AVILA, S.; SANTOS, T. T. RESUMO - Neste trabalho, o problema de detecção de frutas e folhas em viticultura para aplicações envolvendo sensoriamento próximo foi modelado como um problema de aprendizado supervisionado de máquin... ... Repository: BDPA Publication year: 2018
Expression patterns of three ?-expansin isoforms in Coffea arabica during fruit development. Author(s): BUDZINSKI, I. G. F.; SANTOS, T. B.; SERA, T.; POT, D.; VIEIRA, L. G. E.; PEREIRA, L. F. P. As a first step towards understanding the physiological role and regulation of the expansin gene (EXP) family in Coffea arabica fruits during growth and maturation, we identified 11 expansin genes, ni... ... Repository: BDPA Publication year: 2011
March to the North: Ceratitis capitata (Wiedemann, 1824) (Diptera, Tephritidae) reaches Manaus, state of Amazonas, Brazil. Author(s): ACIOLI, A. N. S.; SILVA, N. M.; ADAIME, R.; COSTA-SILVA, F. C.; ZUCCHI, R. A. Since its detection in Brazil in 1901, the Mediterranean fruit fly, Ceratitis capitata (Wiedemann, 1824) has continuously extended its occurrence in Brazil. The last Brazilian states in the North regi... ... Repository: BDPA Publication year: 2024

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